摘要
节律运动是由中枢模式发生器自激产生的。目前的中枢模式发生器(CPG)建模研究仅表现了CPG的自激行为,对于人脑信号的调节性并没有涉及。本研究提出了基于Matsuoka神经振荡器的CPG模型的修正模型,目的在于以这一修正模型体现大脑皮层信号对于CPG网络的调控性。通过对原有模型中输入刺激与网络内部参数的复杂关联的构建,使得模型本身各参数随输入信号的变化而变化,增强了输入信号对于网络自身的影响,令网络不局限于自激状态,还能够产生自我调节的运动形式,从而体现出大脑信号的调控作用。数值模拟计算结果表明,修正后的模型随着输入刺激的变化可以产生不同模式及不同频率的运动形式,且各不同形式之间可以相互转换,从而在理论上很好地反映出大脑信号在步态节律运动过程中,对步态的模式和频率所起到的一定的调节作用,实现了各种步态运动之间的行为转换及恢复的功能,从理论上实现了自发节律与大脑调节性节律运动的共存性,做到大脑信号与CPG模型的统一。
The rhythmic movement is a spontaneous behavior generated by central pattern generator（CPG）.At present,the CPG model only shows the spontaneous behavior,it does not refer to the instruction regulation role of cerebral cortex.In this paper,a revised model based on Matsuoka neural oscillator theory was presented to better show the regulation role of cerebral cortex signal to CPG neuronal network.The complex interaction between input signal and other parameters in CPG network was established,making the every parameter of CPG itself vary with the input signal.It enhanced the effect of input signal to CPG network to make the CPG network express the self-regulation movement state instead of limited to the spontaneous behavior,reflecting the regulation role of cerebral cortex signal.The numerical simulation showed that the revised model could generate various movement forms with different modes and frequencies,and their interchanges.It was theoretically revealed that the cerebral cortex signal could regulate the mode and frequency of gait in the course of gait movement.
出处
《中国生物医学工程学报》
CAS
CSCD
北大核心
2010年第2期247-252,共6页
Chinese Journal of Biomedical Engineering
基金
国家自然科学基金资助项目(10872068,10672057)
关键词
中枢模式发生器
步态运动
节律运动
大脑皮层信号
转换功能
central pattern generator（CPG）
gait movement
rhythmic movement
cerebral cortex signal
conversion function
